文章基本信息

标题：Fault Detection and Isolation Using Hybrid Parameter Estimation and Fuzzy Logic Residual Evaluation
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作者：Belkacem Athamena ; Hadj Ahmed Abbassi
期刊名称：Informatica
印刷版ISSN：1514-8327
电子版ISSN：1854-3871
出版年度：2003
卷号：27
期号：1
页码：29-38
出版社：The Slovene Society Informatika, Ljubljana
摘要：Fault diagnosis has become an issue of primary importance in modern process automation as it provides the prerequisites for the task of fault detection. The ability to detect the faults is essential to improve reliability and security of a complex control system. When a physical parameter change due to failure has occurred in a system, the failure effect will hardly be visible in the output performance. Since the failure, effect is reflected as a change in the predictor model. In this paper we describe a completed feasibility study demonstrating the merit of employing hybrid parameter-estimation and fuzzy logic for fault diagnosis. In this scheme, the residual generation is obtained from input-output data process, and identification technique based on ARX model, and the residual evaluation is based on fuzzy logic adaptive threshold method. The proposed fault detection and isolation tool has been tested on a magnetic levitation vehicle system.
关键词：Fault detection and isolation; Fuzzy logic; Parameter estimation; Adaptive threshold